已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Programmatically Dynamic Microcompartmentation in Coacervate‐in‐Pickering Emulsion Protocell

原细胞 凝聚 皮克林乳液 乳状液 化学 材料科学 纳米技术 化学工程 生物化学 工程类
作者
Mengqing Chen,Guoliang Liu,Ming Zhang,Yanyan Li,Xinlin Hong,Hengquan Yang
出处
期刊:Small [Wiley]
卷期号:19 (10) 被引量:8
标识
DOI:10.1002/smll.202206437
摘要

Abstract The desire for exploration of cellular functional mechanisms has substantially increased the rapid development of artificial cells. However, the construction of synthetic cells with high organizational complexity remains challenging due to the lack of facile approaches ensuring dynamic multi‐compartments of cytoplasm and stability of membranes in protocells. Herein, a stable coacervate‐in‐Pickering emulsion protocell model comprising a membraneless coacervate phase formed by poly‐ l ‐lysine (PLys) and adenosine triphosphate (ATP) encapsulated in Pickering emulsion is put forward only through simple one‐step emulsification. The dynamic distribution of intracellular components (coacervates in this protocell model) can be manipulated by changes in temperature or pH. This coacervate‐in‐Pickering emulsion protocell system exhibits repeatable cycle stability in response to external stimuli (at least 24 cycles for temperature and 3 cycles for pH). By encapsulating antagonistic enzymes into coacervates, glucose oxidase (GOx) and urease as an example, the control of local enzyme concentration is achieved by introducing glucose and urea to adjust the pH value in Pickering emulsion droplets. This hybrid protocell model with programmatically dynamic microcompartmentation and sufficient stability is expected to be further studied and applied in cellular biology, facilitating the development of lifelike systems with potential in practical applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.4应助上官老师采纳,获得30
刚刚
科研通AI6.3应助无限大树采纳,获得10
刚刚
2秒前
4秒前
胖鲤鱼完成签到,获得积分10
4秒前
xqx发布了新的文献求助10
5秒前
Crw__发布了新的文献求助10
5秒前
5秒前
霸气的忆丹完成签到 ,获得积分10
5秒前
emlf11完成签到,获得积分10
6秒前
go完成签到,获得积分10
8秒前
王展之完成签到,获得积分10
8秒前
小冉发布了新的文献求助10
8秒前
淡淡依白发布了新的文献求助10
9秒前
9秒前
RosecLuo完成签到 ,获得积分10
11秒前
Crw__完成签到,获得积分10
12秒前
爆米花应助hahaha采纳,获得10
12秒前
13秒前
14秒前
风声3492881045应助ccc采纳,获得10
15秒前
田様应助缓慢白山采纳,获得10
16秒前
可爱的函函应助哈哈Ye采纳,获得10
16秒前
可爱的函函应助zsl采纳,获得10
17秒前
fenmar发布了新的文献求助10
18秒前
18秒前
传奇3应助moodys采纳,获得10
19秒前
jwc0558完成签到,获得积分10
19秒前
20秒前
20秒前
四海发布了新的文献求助10
21秒前
22秒前
lasu发布了新的文献求助10
22秒前
彭于晏应助明理凝阳采纳,获得10
22秒前
上官老师发布了新的文献求助30
23秒前
无限大树发布了新的文献求助10
23秒前
Sue完成签到 ,获得积分10
23秒前
ccc发布了新的文献求助10
27秒前
Orange应助jiaaaaa采纳,获得10
27秒前
隐形曼青应助李牧采纳,获得10
28秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
A Foreign Missionary on the Long March: The Unpublished Memoirs of Arnolis Hayman of the China Inland Mission 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6470260
求助须知:如何正确求助?哪些是违规求助? 8274858
关于积分的说明 17644499
捐赠科研通 5547169
什么是DOI,文献DOI怎么找? 2908844
邀请新用户注册赠送积分活动 1885731
关于科研通互助平台的介绍 1735489